n8n vs Zapier AI: pricing, features and which to choose

n8n is a workflow automation company founded by Jan Oberhauser in 2019. It says its platform had more than 200,000 users and 3,000 enterprises by March 2025, and announced a $180 million Series C in October 2025, bringing total funding to $240 million and valuation to $2.5 billion. Its canvas combines code, integrations, credentials, webhooks, schedules, and AI nodes. Cloud hosting is the easiest entry point, while Community Edition is free to self-host. Pricing is based on workflow executions rather than steps or users. Self-hosting gives developers control over infrastructure and workflow data, but requires responsibility for security, backups, execution data, community nodes, telemetry settings, and license compliance. n8n is best for technical teams that value self-hosting, execution-based pricing, and AI model choice.

A typical n8n workflow begins with a schedule, webhook, polling event, or application trigger. Nodes can transform data, call APIs, run code, route conditions, query an AI model, or send work for human review. Each complete automatic run counts as one production execution, regardless of node count, while manual editor tests are excluded. Features include templates, Data Tables, sub-workflows, credential connections, retries, execution inspection, and AI Agent nodes. In 2025, n8n added Evaluations, allowing builders to test inputs, compare outputs, and apply measures for correctness, toxicity, bias, or tool choice. Users can connect multiple model providers according to cost and data needs. This workflow approach suits technical teams seeking execution-based pricing, self-hosting, and model choice.

n8n’s main tradeoff is operational and legal complexity. Self-hosting keeps workflow data on your infrastructure, but administrators must secure servers, manage backups, prune execution data, review community nodes, and configure telemetry settings. Its Sustainable Use License allows internal business use and consulting, but prohibits selling hosted n8n or exposing workflow building to customers without a commercial agreement. Zapier is easier for nontechnical users, Make offers a polished visual alternative, and Pipedream is stronger for code-first integrations. n8n’s execution-based billing can suit teams with many-node workflows, while its provider flexibility supports different cost and data requirements. Choose n8n when self-hosting, model choice, and infrastructure control matter more than a beginner-first interface, especially for technical teams and AI workflow builders.

Zapier AI is the artificial intelligence layer within Zapier’s automation platform, from the workflow company founded in 2011. Zapier advertises more than 9,000 apps and 66,000 triggers and actions. The offering includes AI by Zapier steps, embedded agents, chatbots, and MCP connections for assistants such as Claude, ChatGPT, Cursor, and Gemini. Governance features include model policies, PII checks, prompt injection checks, toxicity checks, audit logs, SSO, SCIM, and model opt-out on Enterprise. Zapier also reports more than 593 million AI tasks automated, though it does not publish a separate AI user count. Its practical role is connecting model decisions with app credentials, approvals, retries, records, and repeatable business workflows. AI by Zapier supports OpenAI, Anthropic, Google Gemini, Azure OpenAI, and Amazon Bedrock through built-in connections or customer accounts.

A typical workflow starts with a trigger in a Zap, followed by an AI by Zapier step containing instructions, mapped inputs, and optional structured output fields. The step can summarize, classify, extract, write, or analyze information. Standard handles simple prompts without tools, while Advanced and Premium can use connected app actions and knowledge sources. Returned fields can flow into Gmail, Salesforce, Slack, or another connected application. Users can select Zapier models or connect accounts from OpenAI, Anthropic, Google Gemini, Azure OpenAI, or Amazon Bedrock. Administrators can restrict available models, tools, and agentic behavior, while per-tool approvals can pause sensitive actions before execution. AI by Zapier offers templates for summarizing, writing, classifying, and extracting information when configuring prompts.

Zapier AI’s main tradeoff is usage complexity because ordinary actions, model multipliers, tool calls, and account limits draw from shared capacity. Outputs can vary, so sensitive writes may need approvals or human review. Make, n8n, and Microsoft Copilot Studio are direct competitors for workflow automation with AI capabilities. Zapier emphasizes a broad app catalog, managed authentication, retries, rate limits, auditability, and business-user simplicity, while technical teams may prefer more granular control or self-hosting elsewhere. ChatGPT and Claude are direct model-native alternatives for conversation-first work, but Zapier adds connected credentials and operational actions. Choose Zapier for governed SaaS automation; choose Make, n8n, or Copilot Studio when their control model fits better. It is best for teams that want hosted, auditable AI workflows across business apps.